Imaging

Medical imaging is a broad field that develops and applies imaging technology and image processing to study biological and physiological phenomena at all scales, from the molecular to the organ level, to detect disease, to plan and monitor treatment, and to guide surgery. This cluster is focused on the development of technologies and approaches for detection and treatment of cancer and for image-guided surgery, including Magnetic Resonance Imaging (MRI), nuclear imaging, X-ray CT and ultrasound;  the development of optical coherence tomography, atomic force microscopy and optical technologies for high resolution imaging of tissues and organs; and medical applications of lasers and other forms of energy for treatment, diagnosis, and stimulation; the characterization of physiological function in the ear, eye, brain and other organs. The cluster will be composed of a collaborative group of faculty from the Department of Biomedical Engineering in the College of Engineering and several others across the university, primarily in the School of Medicine and the College of Arts and Sciences.  In addition, interactions will include partners in other universities and industry.  We intend to set up a collaborative center of excellence at the University of Miami with activities including extensive collaborative research with shared instrumentation facilities, education through coordinated coursework and workshops, seminars and discussion groups, and social networking events.

COE Thrusts Supported:  Health, Data

Graduate Courses Offered: 

The educational program in this area includes the medical physics program, in collaboration with the Department of Radiation Oncology. 

Faculty Participants
BME Members: Fabrice Manns, Weizhao Zhao, Noel Ziebarth, and Edward Dauer

Other Departments & Schools : Several departments and institutes at the School of Medicine, including Radiology, Radiation Oncology, Neurology, Bascom Palmer Eye Institute, Sylvester Comprehensive Cancer Center, Miami Project To Cure Paralysis, McKnight Brain Institute; as well as faculty from computer science and psychology.